SOTAVerified

Meta-Learning

Meta-learning is a methodology considered with "learning to learn" machine learning algorithms.

( Image credit: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks )

Papers

Showing 251260 of 3569 papers

TitleStatusHype
Task-Specific Gradient Adaptation for Few-Shot One-Class Classification0
M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference0
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded SmoothnessCode0
Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition0
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action RankerCode0
EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIsCode1
Meta-Learning-Based Delayless Subband Adaptive Filter using Complex Self-Attention for Active Noise Control0
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-LearningCode1
Automatic Self-supervised Learning for Social Recommendations0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8Unverified
2MZMeta-train success rate97.6Unverified
3MAMLMeta-test success rate36Unverified
4RL^2Meta-test success rate10Unverified
5DnCMeta-test success rate5.4Unverified
6PEARLMeta-test success rate0Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60Unverified
2Multi-task multi-head SACAverage Success Rate35.85Unverified
3DisCorAverage Success Rate26Unverified
4NDPAverage Success Rate11Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5Unverified
2MZMeta-test success rate (zero-shot)17.7Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75Unverified